2. What is BIG DATA?
‘Big Data’ is similar to ‘small data’, but
bigger
but having data bigger it requires different
approaches:
◦ Techniques, tools and architecture
with an aim to solve new problemsor old
problems in a better way
3. 4 V‘s of Big Data
Volume
• Data
quantity
Velocity
• Data
Speed
Variety
• Data
Types
Veracity
• Messiness
4. STRUCTURE OF BIGDATA
Structured
Semi structured
Unstructured
Structured : The structured mostly
includes the traditional sources of
information.
Semi structured : the semi structure
includes many sources of Bigdata.
Unstrutured : The unstructured includes
information like video data and audio
data.
5. Why Big Data
Key enablers of appearance and growth
of Big Data are
– Increase of storage capacities
– Increase of processing power
– Availability of data
– Every day we create 2.5 quintillion bytes of
data; 90% of the data in the world today has
been created in the last two years alone
6. Big Data Analytics
Examining large amount of data
Appropriate information
Identification of hidden patterns, unknown
correlations
Competitive advantage
Better business decisions: strategic and operational
Effective marketing, customer satisfaction, increased
revenue
7. Applications for Big Data Analytics
Homeland Security
FinanceSmarter Healthcare
Multi-channel
sales
Telecom
Manufacturing
Traffic Control
Trading Analytics Fraud and Risk
Log Analysis
Search Quality
Retail: Churn, NBO
8. Healthcare
80% of medical data is unstructured and is
clinically relevant
Data resides in multiple places like individual
EMRs, lab and imaging systems, physician
notes, medical correspondence, claims etc
Leveraging Big Data
Build sustainable healthcare systems
Collaborate to improve care and outcomes
Increase access to healthcare
9. Market Size
By 2015 4.4 million IT jobs in Big Data ; 1.9 million is in US itself
10. India – Big Data
Gaining attraction
Huge market opportunities for IT
services (82.9% of revenues) and
analytics firms (17.1 % )
Current market size is $200 million. By
2015 $1 billion
The opportunity for Indian service
providers lies in offering services around
Big Data implementation and analytics
for global multinationals
11. Potential Talent Pool -Big
Data
India will require a minimum of 1 lakh data scientists in the next couple of
years in addition to data analysts and data managers to support the Big
Data space.
12. ADVANTAGES
The bigdata is already a vital part of
the $64 billion databases and data
analytics market.
It furnishes commercial oppurtunities
of comparable
14. Future of Big Data
• $15 billion on software firms only specializing
in data management and analytics. This
industry on its own is worth more than $100
billion and growing at almost 10% a year
which is roughly twice as fast as the software
business as a whole.
• In February 2012, the open source analyst
firm Wikibon released the first market forecast
for Big Data , listing $5.1B revenue in 2012
with growth to $53.4B in 2017
• The McKinsey Global Institute estimates that
data volume is growing 40% per year, and will
grow 44x between 2009 and 2020.
15. Big Data Analytics
Technologies
Nasal : non-relational or at least non-SQL
database solutions such as HBase (also a part of
the Hadoop ecosystem), Cassandra, MongoDB, Riak,
CouchDB, and many others.
Hadoop: It is an ecosystem of software packages,
including MapReduce, HDFS, and a whole host of
other software packages
